Mobile music recommendations for runners based on location and emotions: The DJ-Running system

被引：19

作者：

Alvarez, P. ^{[1
]}

Zarazaga-Soria, F. J. ^{[1
]}

Baldassarri, S. ^{[1
]}

机构：

[1] Univ Zaragoza, Comp Sci & Syst Engn Dept, Maria de Luna 1,Ada Byron Bldg, Zaragoza, Spain

来源：

PERVASIVE AND MOBILE COMPUTING | 2020年 / 67卷

关键词：

Context-aware applications and services; Music recommendation; Emotions; Geodata integration; Running; PHYSICAL-ACTIVITY; MODEL; ENVIRONMENT;

D O I：

10.1016/j.pmcj.2020.101242

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Music can produce a positive effect in runners' motivation and performance. Neverthe-less, these effects vary depending on the user's location, the emotions that she/he feels at each moment or the type of training session. In this paper, a context and emotion-aware system for the recommendation and playing of Spotify songs is presented. It consists in a location-based mobile application that interacts with a novel emotional wearable and a recommendation service that predicts the next song to be recommended. These predictions are performed by an intelligent system that combines artificial intelligent techniques with geodata and emotionally-annotated music. A wide variety of location-based services and music services available in Internet have been integrated into the recommender in order to support the decision-making process in a real environment. The final solution has been customized to be tested in the city of Zaragoza. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：18

共 64 条

[1] Context-Aware Recommender Systems [J].

Adomavicius, Gediminas ;

Mobasher, Bamshad ;

Ricci, Francesco ;

Tuzhilin, Alex .

AI MAGAZINE, 2011, 32 (03) :67-80

[2] DJ-Running: An Emotion-based System for Recommending Spotify Songs to Runners [J].

Alvarez, P. ;

Guiu, A. ;

Beltran, J. ;

Garcia de Quiros, J. ;

Baldassarri, S. .

ICSPORTS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SPORT SCIENCES RESEARCH AND TECHNOLOGY SUPPORT, 2019, :55-63

[3] A Simplified Varestraint Test for Analyzing Weldability of Fe-Ni Based Superalloys [J].

Alvarez, P. ;

Vazquez, L. ;

Garcia-Riesco, P. M. ;

Rodriguez, P. P. ;

Magana, A. ;

Santos, F. .

PROCEEDINGS OF THE 9TH INTERNATIONAL SYMPOSIUM ON SUPERALLOY 718 & DERIVATIVES: ENERGY, AEROSPACE, AND INDUSTRIAL APPLICATIONS, 2018, :849-865

[4]

[Anonymous], 2012, Theory of Computing, DOI [10.4086/toc.2012.v008a014, DOI 10.4086/TOC.2012.V008A014]

[5]

[Anonymous], 2011, PROC RECSYS 2011 WOR

[6] ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms [J].

Aumuller, Martin ;

Bernhardsson, Erik ;

Faithfull, Alexander .

INFORMATION SYSTEMS, 2020, 87

[7] Emotion Based Music Recommendation System Using Wearable Physiological Sensors [J].

Ayata, Deger ;

Yaslan, Yusuf ;

Kamasak, Mustafa E. .

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2018, 64 (02) :196-203

[8]

Babu PM, 2006, PHYS LOW-DIMENS STR, V1, P25

[9]

Bauer C., 2015, Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA15, P1379, DOI DOI 10.1145/2702613.2732736

[10] Does the outdoor environment matter for psychological restoration gained through running? [J].

Bodin, M ;

Hartig, T .

PSYCHOLOGY OF SPORT AND EXERCISE, 2003, 4 (02) :141-153

← 1 2 3 4 5 6 7 →